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Implementation of Dijkstra's algorithm for Mexico's city subway (Symbolic AI insight with Prolog)

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Dijkstra's algorithm implementation for Mexico's city subway. Symbolic AI insight with Prolog.

Description

This program represents the complete graph of Mexico's city subway. Further, it provides the necessary predicates to inform a user for the best and worst routes (in time) to take, between whatever two stations. We consider a directed weighted graph, where the time asociated to an edge is estimated by the formula:

       ((5 min) * g ) + n*(10 min)

Where g is the indegree to the destiny vertex of the edge, and n is the number of possible transhipments in the destiny vertex of the edge.

The program starts when the user execute the predicate:

       bienvenida(Ruta, Peso).

Then, the program gives a welcome message to the user, and ask her to select between the two available options, so it can assist her to take an intelligent decision on choosing the best route:

  1. Find best route.
  2. Find worst route.

In case that the user writes an invalid option, the program will reply to her that she entered a wrong option, and kindly provide a valid one.

Relevant predicates:

  1. bienvenida -> Welcome message to the user
  2. mejorRuta -> Find best route to navigate
  3. peorRuta -> Find worst route to navigate
  4. *todasLasRutas (It is included in mejorRuta and peorRuta. However, it is included as an additional predicate.

Mexico's City subway:

alt text

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Implementation of Dijkstra's algorithm for Mexico's city subway (Symbolic AI insight with Prolog)

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